Title :
Using a hidden Markov process to both characterize critical human tracking regions and to predict the incidence of pilot induced oscillation
Author :
Repperger, D.W. ; Koivo, A.J. ; Haas, M.W.
Author_Institution :
Armstrong Lab., Wright-Patterson AFB, OH, USA
Abstract :
Hidden Markov models (HMM) are used to investigate human tracking behavior in the flying of aircraft, by predicting steady state tracking performance and critical regions where behavioral changes are known to occur. A two and three state HMM are tested with human subjects in an experiment which is known to precipitate a pilot induced oscillation (PIO)
Keywords :
aircraft control; hidden Markov models; oscillations; tracking; HMM; aircraft; critical human tracking regions; hidden Markov models; pilot induced oscillation prediction; steady state tracking performance; Aerospace control; Aircraft; Decision making; Delay; Hidden Markov models; Humans; Laboratories; Steady-state; Target tracking; Testing;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.611837
